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lyssquant/inkling-UD-Q2_K_XL-layers

sourceHugging Faceupdated 2mo agoView on Hugging Face
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Model Card

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<h1>inkling-UD-Q2KXL</h1>

<p> <strong>Distributed GGUF inference package for Mesh LLM</strong> </p>

<p> <a href="https://www.meshllm.cloud"><img alt="Website" src="https://img.shields.io/badge/Website-meshllm.cloud-111111?style=for-the-badge"></a> <a href="https://github.com/Mesh-LLM/mesh-llm"><img alt="GitHub" src="https://img.shields.io/badge/GitHub-Mesh--LLM-24292f?style=for-the-badge&logo=github"></a> <a href="https://discord.gg/rs6fmc63eN"><img alt="Discord" src="https://img.shields.io/badge/Discord-Join-5865F2?style=for-the-badge&logo=discord&logoColor=white"></a> </p> </div>

[!WARNING] Experimental package: artifact integrity may be validated, but runtime, split-correctness, and multimodal certification are still pending. This package is not discoverable through meshllm/catalog@main until its Hugging Face catalog PR is reviewed and merged.

GGUF layer package for running inkling-UD-Q2_K_XL across a local Mesh LLM cluster.

This package is derived from unsloth/inkling-GGUF and keeps the original GGUF distribution split into per-layer artifacts for distributed inference.

Highlights

Run locallyPool multiple machinesOpenAI-compatiblePackage variant
Private inference on your hardwareSplit layers across peersServe /v1/chat/completions locallyUD-Q2_K_XL layer package

Model Overview

PropertyValue
Source modelunsloth/inkling-GGUF
Model idunsloth/inkling-GGUF:UD-Q2_K_XL
Familyinkling
Parameter scalenot recorded
QuantizationUD-Q2_K_XL
Layer count66
Activation width6144
Package size296.5 GB
Source fileUD-Q2_K_XL/inkling-UD-Q2_K_XL-00001-of-00008.gguf
Package repomeshllm/inkling-UD-Q2_K_XL-layers

Recommended Use

  • Local and private inference with Mesh LLM.
  • Multi-machine serving when the full GGUF is too large for one host.
  • OpenAI-compatible chat/completions workflows through Mesh LLM's local API.

For upstream architecture details, chat template guidance, sampling recommendations, license terms, and benchmark notes, see the source model card: unsloth/inkling-GGUF.

Quickstart

bash
# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/inkling-UD-Q2_K_XL-layers" --split
bash
# Check the mesh and discover the OpenAI-compatible model name.
curl -s http://localhost:3131/api/status
curl -s http://localhost:3131/v1/models
bash
# Send an OpenAI-compatible chat request.
curl -s http://localhost:3131/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "unsloth/inkling-GGUF:UD-Q2_K_XL",
    "messages": [{"role": "user", "content": "Write a tiny hello-world function in Rust."}],
    "max_tokens": 128
  }'

Package Variant

PropertyValue
Formatlayer-package
Canonical source refunsloth/inkling-GGUF@d3e9ffca48751dbe8b59dab5cfa364621257c682/UD-Q2_K_XL/inkling-UD-Q2_K_XL-00001-of-00008.gguf
Source revisiond3e9ffca48751dbe8b59dab5cfa364621257c682
Source SHA-2568b153eb6a470303f227ef2ba5b515e4e53cc51be65f4395490aa6e37f377bebf
Skippy ABI0.1.30
Package manifest SHA-2566cda4ce683e8046818d0d51c57e00b61d2245c36ba7b21a4fb7c51ab82c039b7

What Is Included

ArtifactPathContentsSHA-256
Manifestmodel-package.jsonPackage schema, source identity, checksums6cda4ce683e8046818d0d51c57e00b61d2245c36ba7b21a4fb7c51ab82c039b7
Metadatashared/metadata.gguf1 tensors, 12.4 MBc2332ae2f8fc2a711861bae5c96720592aee75cdf7868a3bade02bc513f03bf5
Embeddingsshared/embeddings.gguf2 tensors, 822.2 MB2021ca206c89e66637e4e048caea5c5b181413ce4e9b045fb6aff8db315f7a7a
Output headshared/output.gguf3 tensors, 675.0 MB0ca256c69c9c311dfb5671643f9edaff62de8706453a68aa34b953aaac6f8b21
Transformer layerslayers/layer-*.gguf66 layer artifacts, 1574 tensors, 294.9 GBsee model-package.json
Projectorprojectors/mmproj-BF16.ggufmmproj projector, 174.8 MB662c925e1df293cfba16ffd6bd53dac31d3c73160ba65dff7270d7a70f351e91

Validation

Generated by the Mesh LLM HF Jobs splitter from mesh-llm ref codex/inkling-q2-skippy. Each artifact is checksummed as it is written, uploaded to this repository, and removed from the job workspace before the next artifact is produced.

bash
skippy-model-package write-package "/source/UD-Q2_K_XL/inkling-UD-Q2_K_XL-00001-of-00008.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_inkling-UD-Q2_K_XL-layers-193/package"

Links